An Executable Model Driven Framework for Enterprise Architecture Application to the Smart Grids Context

Seghiri, Rachida; Boulanger, Frédéric; Lecocq, Claire; Godefroy, Vincent

doi:10.1109/hicss.2016.565

Cited by 4 publications

(2 citation statements)

References 18 publications

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“…The architectural structure of smart grids (Figure 2) can be categorized into three levels [9][10][11][12]:…”

Section: Generalities On Smart Gridsmentioning

confidence: 99%

Synthesis of modeling and optimal management of smart grids

Khaldi,

Bouslimi,

Lakhoua

2024

Infor. Syst. Smart. City

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Smart grids may be characterized as the amalgamation of electrical grids, communication networks, specialized hardware, and computational intelligence (algorithms). This integration aims to oversee, regulate, and coordinate the generation, distribution, storage, and utilization of energy. Indeed, smart grid technologies have the potential to facilitate the distribution of substantial quantities of power generated from renewable sources. For this purpose, a comprehensive modeling approach is employed to simplify and enhance the feasibility of the task. It introduces a highly intricate system where modeling the components and relationships between entities proves challenging. Optimal energy management is necessary in this case. This paper provides a summary of an investigation into the modeling and optimal management of smart grids. In fact, this work allows a discussion of a hybrid system. Then we briefly introduce the domain of conceptual modeling within the enterprise.

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“…The architectural structure of smart grids (Figure 2) can be categorized into three levels [9][10][11][12]:…”

Section: Generalities On Smart Gridsmentioning

confidence: 99%

Synthesis of modeling and optimal management of smart grids

Khaldi,

Bouslimi,

Lakhoua

2024

Infor. Syst. Smart. City

View full text Add to dashboard Cite

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“…But the models are usually not executable, and even less simulable. We draw from previous work (Seghiri et al, 2016) for modeling and executing EA processes and extend it by focusing on modeling the IT system for FMI cosimulation and addressing the issues for interfacing the heterogeneous models of a Smart Grid.…”

Section: Simulation Of Cyber-physical Systems For the Industrymentioning

confidence: 99%

An Approach to Design Smart Grids and Their IT System by Cosimulation

Oudart

Cantenot

Boulanger

et al. 2019

Proceedings of the 7th International Conference on Model-Driven Engineering and Software Development

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Smart grids are the oncoming generation of power grids, which rely on information and communication technologies to tackle decentralized and intermittent energy sources such as wind farms and photovoltaic plants. They integrate electronics, software information processing and telecommunications technical domains. Therefore the design of smart grids is complex because of the various technical domains and modeling tools at stake. In this article, we present an approach to their design, which relies on model driven engineering, executable models and FMI based cosimulation. This approach is illustrated on the use case of an insular power grid and allows to study the impact of power production decisions.

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A Survey on Industrial Information Integration 2016–2019

Chen

2020

J. Ind. Intg. Mgmt.

100

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Industrial information integration engineering (IIIE) is a set of foundational concepts and techniques that facilitate the industrial information integration process. In recent years, many applications of the integration between Internet of Things (IoT) and IIIE have become available, including industrial Internet of Things (IIoT), cyber-physical systems, smart grids, and smart manufacturing. In order to investigate the latest achievements of studies on IIIE, this paper reviews literatures from 2016 to 2019 in IEEEXplore and Web of Science. Altogether, 970 papers related to IIIE are grouped into 27 research categories and reviewed. The results present up-to-date development of IIIE and provide directions for future research on IIIE.

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An Executable Model Driven Framework for Enterprise Architecture Application to the Smart Grids Context

Cited by 4 publications

References 18 publications

Synthesis of modeling and optimal management of smart grids

Synthesis of modeling and optimal management of smart grids

An Approach to Design Smart Grids and Their IT System by Cosimulation

A Survey on Industrial Information Integration 2016–2019

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